4 papers
Data-driven multi-objective optimization for alloy recycling using factorization machines and quantum annealing
Thomas Plehn, Katrin Bugelnig, Silvana Tumminello +2
Quantum annealing has the potential to provide practical quantum advantage for complex optimization tasks. Here, we present a systematic assessment of an integrated factorization-m…
Annotated digital image correlation displacement fields from fatigue crack growth experiments
David Melching, Ferdinand Dömling, Florian Paysan +3
We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlation (DIC). The dataset covers m…
Trustworthy AI-based crack-tip segmentation using domain-guided explanations
Jesco Talies, Eric Breitbarth, David Melching
Ensuring the trustworthiness and robustness of deep learning models remains a fundamental challenge, particularly in high-stakes scientific applications. In this study, we present…
Progress on Data-Driven, Multi-Objective Quantum Optimization
Thomas Plehn, Daniel Barragan-Yani, Eric Breitbarth +2
Here, we present two complementary approaches that advance quadratic unconstrained binary optimization (QUBO) toward practical use in data-driven materials design and other real-va…